This short whitepaper aims to create the beginnings of a framework for best practices standards by focusing on specific privacy and security vulnerabilities within ML systems. At present, we view these vulnerabilities as warning signs—either of a future in which the benefits of ML are not fully embraced, or a future in which ML’s liabilities are insufficiently protected.
Avast fined €14 million for sharing user data
Avast has been fined €14 million by the Czech data protection authority for unlawfully sharing users' personal data with a […]